Gigabyte Technology Co., Ltd. Z890 AI TOP
Geekbench AI Score
33008
Single Precision Score
44216
Half Precision Score
25109
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 04:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AI TOP |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13099
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
15697
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
10874
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17584
285.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20464
331.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15734
255.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
293019
341.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
491673
573.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
252128
295.4 IPS |
|
|
Object Detection (SP)
|
100% |
16056
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
20340
1.61 KIPS |
|
|
Object Detection (Q)
|
86% |
13414
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
40437
480.5 IPS |
|
|
Face Detection (HP)
|
100% |
49654
590.0 IPS |
|
|
Face Detection (Q)
|
97% |
35782
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87915
677.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
150437
1.16 KIPS |
|
|
Depth Estimation (Q)
|
77% |
64359
514.7 IPS |
|
|
Style Transfer (SP)
|
100% |
514004
660.8 IPS |
|
|
Style Transfer (HP)
|
100% |
967452
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
446364
575.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55346
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74245
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40562
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4456
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2062
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2003
37.6 IPS |
